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Seven: Prof Tetlock on why accurate forecasting matters for everything, and how you can do it better

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Manage episode 279647712 series 2837265
内容由Rob Wiblin, Keiran Harris and 80,000 Hours and The 80000 Hours team提供。所有播客内容(包括剧集、图形和播客描述)均由 Rob Wiblin, Keiran Harris and 80,000 Hours and The 80000 Hours team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Have you ever been infuriated by a doctor's unwillingness to give you an honest, probabilistic estimate about what to expect? Or a lawyer who won't tell you the chances you'll win your case?

Their behaviour is so frustrating because accurately predicting the future is central to every action we take. If we can't assess the likelihood of different outcomes we're in a complete bind, whether the decision concerns war and peace, work and study, or Black Mirror and RuPaul's Drag Race.

Which is why the research of Professor Philip Tetlock is relevant for all of us each and every day.

In this conversation from 2019, we discuss how his work can be applied to your personal life to answer high-stakes questions, like how likely you are to thrive in a given career path, or whether your business idea will be a billion-dollar unicorn — or fall apart catastrophically.

Full transcript, related links, and summary of this interview

This episode first broadcast on the regular 80,000 Hours Podcast feed on June 28, 2019. Some related episodes include:

• #7 – Julia Galef on making humanity more rational, what EA does wrong, and why Twitter isn’t all bad
• #11 – Dr Spencer Greenberg on speeding up social science 10-fold & why plenty of startups cause harm.
• #15 – Prof Tetlock on how chimps beat Berkeley undergrads and when it’s wise to defer to the wise
• #30 – Dr Eva Vivalt on how little social science findings generalize from one study to another
• #40 – Katja Grace on forecasting future technology & how much we should trust expert predictions.
• #48 – Brian Christian on better living through the wisdom of computer science
• #78 – Danny Hernandez on forecasting and measuring some of the most important drivers of AI progress

Series produced by Keiran Harris.

  continue reading

14集单集

Artwork
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Manage episode 279647712 series 2837265
内容由Rob Wiblin, Keiran Harris and 80,000 Hours and The 80000 Hours team提供。所有播客内容(包括剧集、图形和播客描述)均由 Rob Wiblin, Keiran Harris and 80,000 Hours and The 80000 Hours team 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Have you ever been infuriated by a doctor's unwillingness to give you an honest, probabilistic estimate about what to expect? Or a lawyer who won't tell you the chances you'll win your case?

Their behaviour is so frustrating because accurately predicting the future is central to every action we take. If we can't assess the likelihood of different outcomes we're in a complete bind, whether the decision concerns war and peace, work and study, or Black Mirror and RuPaul's Drag Race.

Which is why the research of Professor Philip Tetlock is relevant for all of us each and every day.

In this conversation from 2019, we discuss how his work can be applied to your personal life to answer high-stakes questions, like how likely you are to thrive in a given career path, or whether your business idea will be a billion-dollar unicorn — or fall apart catastrophically.

Full transcript, related links, and summary of this interview

This episode first broadcast on the regular 80,000 Hours Podcast feed on June 28, 2019. Some related episodes include:

• #7 – Julia Galef on making humanity more rational, what EA does wrong, and why Twitter isn’t all bad
• #11 – Dr Spencer Greenberg on speeding up social science 10-fold & why plenty of startups cause harm.
• #15 – Prof Tetlock on how chimps beat Berkeley undergrads and when it’s wise to defer to the wise
• #30 – Dr Eva Vivalt on how little social science findings generalize from one study to another
• #40 – Katja Grace on forecasting future technology & how much we should trust expert predictions.
• #48 – Brian Christian on better living through the wisdom of computer science
• #78 – Danny Hernandez on forecasting and measuring some of the most important drivers of AI progress

Series produced by Keiran Harris.

  continue reading

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